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What is RONTO

Chapter 47
Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends
A schema-matching methodology and tool that facilitates ontology population from relational data through a schema matching process.
Published in Chapter:
Matching Relational Schemata to Semantic Web Ontologies
Polyxeni Katsiouli (University of Athens, Greece), Petros Papapanagiotou (University of Athens, Greece), Vassileios Tsetsos (University of Athens, Greece), Christos Anagnostopoulos (University of Athens, Greece), and Stathes Hadjiefthymiades (University of Athens, Greece)
Copyright: © 2009 |Pages: 9
DOI: 10.4018/978-1-60566-242-8.ch047
Abstract
The Semantic Web (SW; Berners-Lee, Hendler, & Lassila, 2001) is already in its implementation phase and an indication of this is the intense research and development activity in the area of SW tools and languages. SW is based on metadata, which describe the semantics of the Web content. SW envisages the enrichment of data with semantics in order to be machine understandable and enable knowledge reasoning. The core element for achieving such Web evolution is ontology: “Ontology is an explicit specification of a conceptualization” (Gruber).
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